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Nepali Times engagement report

@NepaliTimes - 393K followers on X

Measured over 77 original posts from a 30-day window, last computed on September 10, 2026.

Engagement

Bottom 10% for its size
Per follower
0.001%
of 393K followers
Per impression
0.453%
1.1K views on a typical post
Reach
0.28%
of its followers see a post
Typical post
5
interactions (median)
Saved
0.091%
1 bookmarks on a typical post
Posting rate
2.6/day
active 47% of days
Peak time
06:00 UTC
Wednesday

A typical post picks up 5 interactions against 393K followers, an engagement rate of 0.001%. Measured over 77 original posts, its engagement rate beats 9% of 6,874 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 1.1K times each, and 0.453% of those impressions turn into an interaction. That is about 0.281% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.6 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 06:00 UTC, and Wednesday is the busiest day of the week. Of the 77 posts sampled, 17% carry an image or video and 92% link out. The account's strongest tracked post pulled 662 interactions, about 132x its own typical post. Recurring topics include #editorial, #nepalflooding, #repost.

Measured over 77 original posts from a 30-day window, last computed on September 10, 2026. Recurring tags: #editorial, #nepalflooding, #repost.

Compared with accounts its own size

Nepali Times's engagement rate beats 9% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 8 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

On engagement per impression rather than per follower it beats 28% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.

Where this sits in the catalog

At 0.001%, Nepali Times sits below the 10th percentile of the 65,980 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.016%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99120.0%
Engagement rate as a share of followers, across the 65,980 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 57,142 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.002%
25th percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile120.0%

This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built

Posting timing

This account posts most often around 06:00 UTC, and Wednesday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 06:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 06:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%89K
01:00 UTC-2%90K
02:00 UTC-3%88K
03:00 UTC-4%94K
04:00 UTC-5%76K
05:00 UTC-4%75K
06:00 UTC-5%86K
07:00 UTC-5%93K
08:00 UTC-4%108K
09:00 UTC-4%124K
10:00 UTC-3%129K
11:00 UTC-3%141K
12:00 UTC-3%154K
13:00 UTC-3%167K
14:00 UTC-4%173K
15:00 UTC-2%176K
16:00 UTC-3%171K
17:00 UTC-3%159K
18:00 UTC-2%149K
19:00 UTC-2%141K
20:00 UTC-1%131K
21:00 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Formats this account uses

Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video17% of posts+111%+108% to +115%34K
Outbound link92% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 17% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
  • 92% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 257 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.

Best tweets

  • Aug 30, 2026132x their median

    It appears this was not so much a glacier collapse but the mountain itself falling apart. The question scientists are asking now is what made the bedrock split open this week on Langtang’s north face. https://t.co/Wao0mgouxm

    456163301344K viewsView on X
  • Aug 27, 202663x their median

    Satellite images show the glacial collapse on the North Face of Langtang was in Nepal itself. Central Nepal flood, the day after. Analysis by @kundadixit. New updates from #NepalFlooding: https://t.co/AH5w9t163N

    20190121125K viewsView on X
  • Aug 26, 202613x their median

    The problem is not just that Nepal is vulnerable to floods. It is that sometimes the floods in Nepal begin somewhere else. Preparing for them requires information and communication that can cross the same border the river does, writes Sushim Thapaliya. https://t.co/BwVMwtv1kl

    3617646.7K viewsView on X
  • Aug 28, 202610x their median

    #editorial Nothing about this disaster was 'natural' – not the glacier melting due to greenhouse gas buildup, not the hydropower plants on trans-Himalayan rivers, not designing highways to follow rivers, not settlements that have grown around them. https://t.co/ALkAlTeu4Z

    2520242.9K viewsView on X
  • Aug 26, 20266.4x their median

    A flash flood in Rasuwa’s Timure and Syabrubesi that originated in Tibet swept through the Bhotekosi on Wednesday, causing major destruction to settlements and infrastructure downstream in multiple districts. The cause of the flood has not yet been confirmed. Photos: NEPAL POLICE https://t.co/jsT3DlbJan

    1611145.5K viewsView on X
  • Aug 26, 20265.8x their median

    Wednesday's flood in Rasuwa is a stark reminder that the Himalaya are the youngest, most unstable and fragile mountains in the world. Add climate crisis and seismicity to the mix and it becomes Nepal’s objective reality, writes Ngamindra Dahal. https://t.co/quX5TmcOFN

    1513013.6K viewsView on X
  • Aug 29, 20265.6x their median

    A Chinese drone operator seems to have inadvertently recorded video of the ice-rock avalanche as it happened on the Nepal side, providing indications of the sequence of events on the north face of Langtang Lirung on 26 August. Read @kundadixit's analysis: https://t.co/Wao0mgouxm

    188112.8K viewsView on X
  • Aug 30, 20264.8x their median

    Even while Nepal is in shock about the 3,000 souls still missing from the catastrophic floods, on the International Day of the Victims of Enforced Disappearances activists remember those who are still missing from the conflict that ended 20 years ago. https://t.co/xzaj0Fw99r

    167102.1K viewsView on X
  • Aug 29, 20264.6x their median

    This loss is colossal. It is a national calamity, sure. But these are also tragedies of thousands of families. How will so many people come to terms with what they have witnessed: loss of family, homes, fields, livestock, and property? Reporter's diary: https://t.co/adycwhzxBD https://t.co/7nyPaegDgh

    183201.8K viewsView on X
  • Aug 28, 20264.2x their median

    We have spent centuries drawing lines on maps, building nations out of paper and pride. But the water cycle is the planet's great equaliser. We have spent so long forgetting this. The flood is a brutal reminder, writes Zakir Kibria. https://t.co/ymI7LFw5ak

    108212.2K viewsView on X

Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.

Recurring topics

#editorial#nepalflooding#repost

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 5 interactions against 393K followers, an engagement rate of 0.001%. Measured over 77 original posts, its engagement rate beats 9% of 6,874 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 1.1K times each, and 0.453% of those impressions turn into an interaction. That is about 0.281% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.6 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 06:00 UTC, and Wednesday is the busiest day of the week. Of the 77 posts sampled, 17% carry an image or video and 92% link out. The account's strongest tracked post pulled 662 interactions, about 132x its own typical post. Recurring topics include #editorial, #nepalflooding, #repost.

What is Nepali Times's engagement rate on X?
Nepali Times (@NepaliTimes) has an engagement rate of 0.001%, based on the median interactions across 77 original posts from the last 30 days against 393,049 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, Nepali Times sits below the 10th percentile of the 65,980 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
Does @NepaliTimes have real engagement?
Its engagement rate beats 9% of the tracked X accounts closest to it in follower count (6,874 accounts), which puts it in the bottom 10% for its size group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
When does @NepaliTimes post?
Most posts go out around 06:00 UTC, and Wednesday is its busiest day, at roughly 2.6 posts per day across the measured window.

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